Designing an Indigenous Smart Parliament Framework for Iran’s IslamicConsultative Assembly in Light of the Experiences of Digital Parliaments

Authors

  • asal ghahremani PhD student in Science, Technology and Innovation Governance, School of Governance, University of Tehran, Tehran, Iran Author
  • Aref Monadi Assistant Professor, Department of Urban Engineering, Faculty of Architecture and Urban Design, Sooreh International University, Tehran, Iran Author

DOI:

https://doi.org/10.61838/jgsc.47

Keywords:

Smart Parliament, Digital Governance, Electronic Participation, Algorithmic Transparency, Islamic Consultative Assembly of Iran, Data-driven Policymaking

Abstract

Digital transformation has created new opportunities in legislative institutions, introducing the concept of a “Smart Parliament”
as a modern model of legislative governance. This concept extends beyond mere instrumentation/digitization, emphasizing
data-driven decision-making, greater transparency, and more effective accountability. The present study aims to design an
indigenous framework for realizing a Smart Parliament in Iran by conducting a systematic analysis of the current status of the
Islamic Consultative Assembly (Majlis) and a comparative analysis of experiences in leading countries, such as Estonia and
New Zealand.
Based on thematic analysis, the findings identify five key components necessary for realizing a Smart Parliament:
technological infrastructure, data governance and algorithmic transparency, electronic citizen participation, institutional
renewal, and policy learning. Accordingly, a five-layer, phased model was designed. By integrating the systemic framework of
policy analysis with an institutional digital maturity model, this design is adaptable to Iran’s specific cultural, legal, and
technical context. This model conceptualizes parliamentary transformation not merely as a technological shift, but as an
institutional, cultural, and interactive process.
Addressing existing gaps in technological infrastructure, data governance, transparency, and public participation within the
Iranian Parliament, this research offers strategic recommendations, including drafting a parliamentary digital transformation
roadmap, enacting legislation on data governance and algorithmic transparency, establishing legislative innovation centers, and
developing public participatory platforms. By synthesizing theories of digital governance, algorithmic transparency, and
institutional renewal, this study strives to provide a theoretical and practical foundation for the transition toward smart, data-
driven, and participatory legislation in Iran.

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References

Akbari, I., Banafi, M., & Moratab, Y. (2023). Comparative study of smart parliaments: Policy recommendations for Iran.

Majlis Research Center. https://rc.majlis.ir/fa

Amiri, E., & Sangar, A. B. (2023). Assessing the ICT development in Iranian cities: The strategy to accelerate digital

advancement. Technological Forecasting and Social Change, 197, 122904. https://doi.org/10.1016/j.techfore.2023.122904

Bignami, F. (2022). Artificial intelligence accountability of public administration. The American Journal of Comparative Law,

70(Suppl. 1), i312–i346. https://doi.org/10.1093/ajcl/avac012

Busuioc, M. (2020). Accountable artificial intelligence: Holding algorithms to account. Public Administration Review, 81(5),

825–836. https://doi.org/10.1111/puar.13293

Cheong, B. C. (2024). Transparency and accountability in AI systems: Safeguarding wellbeing in the age of algorithmic

decision making. Frontiers in Human Dynamics, 6, 1421273. https://doi.org/10.3389/fhumd.2024.1421273

Coglianese, C., Lehr, D., Benjamin, S., Berk, R., Gunn, H., Pierce, R., & Rai, A. (2019). Transparency and algorithmic

governance. Administrative Law Review, 71(1), 1–56. Retrieved from

https://scholarship.law.upenn.edu/faculty_scholarship/2123

Danaeefard, H., Hassanpoor, A., & Abbasi, T. (2017). Development of e-government and its challenges, Iran. In Global

encyclopedia of public administration, public policy, and governance (pp. 1–11). Springer. https://doi.org/10.1007/978-3-319-

31816-5_3364-1

de Wee, G. (2021). Comparative policy analysis and the science of conceptual systems: A candidate pathway to a common

variable. Foundations of Science, 27(2), 287–305. https://doi.org/10.1007/s10699-021-09782-5

Dunn, W. N. (2018). Public policy analysis: An integrated approach (6th ed.). Routledge.

Fathi, B., Rahimi, G., & Irani, F. N. H. A. (2025). Quantitative analysis of factors affecting the realization of smart government

in Iran with emphasis on the dimensions of digital governance. Digital Transformation and Administration Innovation, 3(1), 1–

11. https://doi.org/10.61838/DTAI.3.1.8

Fitsilis, F., & Mikros, G. (2022). Smart parliament, data driven democracy. Springer.

Fitsilis, F., & Mikros, G. (2024). Crowdsourcing the digital parliament. The Journal of Legislative Studies. Advance online

publication. https://doi.org/10.1080/13572334.2024.2385123

Gill, D. (n.d.). Empowering online public service in Asia: The digital frontier. Retrieved from

https://www.eria.org/uploads/DIGIGOV-FULL-27March2024.pdf

Green, B. (2022). The flaws of policies requiring human oversight of government algorithms. Computer Law & Security

Review, 45, 105681. https://doi.org/10.1016/j.clsr.2022.105681

Internet Governance Project. (2024). Caught in the crossfire: The impact of sanctions on Iranian internet users. Retrieved

October 9, 2025, from https://www.internetgovernance.org/2024/10/22/caught-in-the-crossfire-the-impact-of-sanctions-on-

iranian-internet-users/

Internet Society. (2024). Breaking the web: How sanctions are undermining Iran’s access to the internet. Retrieved October 9,

2025, from https://pulse.internetsociety.org/blog/breaking-the-web-how-sanctions-are-undermining-irans-access-to-the-internet

James, A., Hynes, D., Whelan, A., Dreher, T., & Humphry, J. (2023). From access and transparency to refusal: Three

responses to algorithmic governance. Internet Policy Review, 12(2). https://doi.org/10.14763/2023.2.1691

Karimi, M., Danaeefard, H., & Kazemi, S. H. (2024). Analyzing the challenges of digital transformation in Iran’s public

sector: A qualitative research. Public Management Researches, 16(62), 1–34. https://doi.org/10.22111/jmr.2024.44968.5965

Kassen, M. (2025). Blockchain and digital governance: Decentralization of decision making policy. Review of Policy

Research, 42(1), 95–121. https://doi.org/10.1111/ropr.12585

Lin, Z., & Yaakop, M. R. (2024). Research on digital governance based on Web of Science—A bibliometric analysis.

Frontiers in Political Science, 6, 1403404. https://doi.org/10.3389/fpos.2024.1403404

Mechitov, A., & Moshkovich, H. (2021). Estonia – A small giant of e-government. Journal of Academy of Business and

Economics, 21(3), 43–53. https://doi.org/10.18374/jabe-21-3.4

Nortal. (2024). How AI accelerates the legislative power of the Parliament of Estonia. Retrieved from

https://nortal.com/insights/how-ai-accelerates-the-legislative-power-of-the-parliament-of-estonia/

OECD. (2020). Parliaments in the digital age: Enhancing transparency and engagement. OECD Publishing.

Purssell, E., & Gould, D. (2021). Undertaking qualitative reviews in nursing and education: A method of thematic analysis for

students and clinicians. International Journal of Nursing Studies Advances, 3, 100036.

https://doi.org/10.1016/j.ijnsa.2021.100036

Singh, J., Cobbe, J., & Norval, C. (2019). Decision provenance: Harnessing data flow for accountable systems. IEEE Access,

7, 6562–6574. https://doi.org/10.1109/ACCESS.2018.2887201

Srivastava, S., & Sharma, R. (2025). Digital maturity framework for smart governance: A multi layered approach to

institutional intelligence. Journal of Digital Government Studies, 11(1), 45–68. https://dl.acm.org/journal/dgov

Terán, L., Vaca, C., Riofrio, D., & Stürmer, M. (2024). Introduction to the special issue on smart government development and

applications. Digital Government: Research and Practice, 5(3), 17. https://doi.org/10.1145/3691353

Union, Publications Office of the European. (2019). A governance framework for algorithmic accountability and transparency.

Publications Office of the European Union. https://doi.org/10.2861/59990

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How to Cite

ghahremani, asal, & Monadi, A. . (2026). Designing an Indigenous Smart Parliament Framework for Iran’s IslamicConsultative Assembly in Light of the Experiences of Digital Parliaments. The Journal of Governance and Smart City, 2(1). https://doi.org/10.61838/jgsc.47

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